Textile Classification on Custom Textile Inspection Dataset
87.89Overall Accuracyqwen3-vl:235b
Evaluation Results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| qwen3-vl:235bModel size=235b2026.03 | 87.89 | 97.37 | 100 | 60.47 | 83.33 | 93.85 | 25 | |
| qwen3.5:35b*Model size=35b, Inference tool=Ollama (non-stable devel version)2026.03 | 87.89 | 89.47 | 100 | 76.74 | 75 | 90.77 | 0 | |
| qwen3.5:122b*Model size=122b, Inference tool=Ollama (non-stable devel version)2026.03 | 86.1 | 73.68 | 98.44 | 69.77 | 83.33 | 95.38 | 25 | |
| qwen3-vl:8bModel size=8b2026.03 | 83.86 | 86.84 | 93.75 | 55.81 | 66.67 | 95.38 | 50 | |
| gemma3:12bModel size=12b2026.03 | 76.23 | 55.26 | 95.31 | 67.44 | 50 | 76.92 | 100 | |
| llama4:16x17bModel size=16x17b2026.03 | 71.3 | 31.58 | 89.06 | 60.47 | 50 | 89.23 | 0 | |
| minicpm-v:8bModel size=8b2026.03 | 65.02 | 71.05 | 95.31 | 51.16 | 58.33 | 43.08 | 50 | |
| llama3.2-vision:90bModel size=90b2026.03 | 60.09 | 18.42 | 87.5 | 34.88 | 58.33 | 73.85 | 25 | |
| llava:34bModel size=34b2026.03 | 50.67 | 23.68 | 76.56 | 2.33 | 41.67 | 72.31 | 50 |